Scaled Crash Testing Using Modeling, Similitude, and Experimentation

R. Melnyk, Olivia Beattie, B. Waller
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Abstract

Due to the complexity and challenging nature of predicting the effects of impact on a vehicle, much of the crash-testing industry remains one which operates at full-scale. Automobiles and even aircraft are often crashed at full size, which is an expensive and time-consuming process. This paper details a novel approach to crash-testing that combines early use of simulation, scaling of the appropriate parameters using similitude, and limited testing. The method was used to predict the crashworthiness of a small, commercial unmanned aerial vehicle (UAV). The authors were involved in an undergraduate design project to develop a system capable of safely decelerating the RQ-7 Shadow Unmanned Aerial System (UAS) from an operational flight without the use of a runway. For contingency reasons or tactical purposes, the use of a larger runway for the UAS was not feasible. The team developed an airbag-like system that used controlled release of air to decelerate the vehicle. However, due to testing constraints the team was unable to test the airbag system at full-scale with an actual RQ-7 vehicle. The system is already far in it’s life-cycle so there were no prototypes available and the team’s available facilities would not facilitate a large, high-speed test. As a result, the team built a model of the existing vehicle, focusing on key components and materials. The team then conducted testing at both geometric and dynamic scale and used the results of those tests to determine if actual loading would potentially damage the vehicle. The paper demonstrates the utility of such an approach using the RQ-7 case study. Key aspects of the approach were the use of a model of the vehicle to determine the likely loading conditions that would lead to material failure. An analysis of the important scaling characteristics was conducted and a novel, non-dimensional ratio was developed. Scaled testing was conducted using instrumentation to determine the unknown scaling parameters. The results were then compared to the actual vehicle through the use of the non-dimensional ratio. The ratio compared the size, the approach speed, and the mass of the model to the actual air vehicle with the ultimate goal of determining whether the decelerations experienced by the model when impacting the airbag, would result in damage to key components on the vehicle when decelerated at full-scale. Testing showed that the model airbag was capable of adequately decelerating the UAV, although improvements needed to be made for greater reliability.
使用建模、相似和实验的比例碰撞测试
由于预测碰撞对车辆影响的复杂性和挑战性,大多数碰撞测试行业仍然是全尺寸测试。汽车甚至飞机经常按原尺寸坠毁,这是一个昂贵且耗时的过程。本文详细介绍了一种新的碰撞测试方法,该方法结合了早期模拟的使用,使用相似度缩放适当的参数,以及有限的测试。将该方法用于小型商用无人机(UAV)的耐撞性预测。作者参与了一个本科设计项目,开发一种能够在不使用跑道的情况下从作战飞行中安全减速RQ-7影子无人机系统(UAS)的系统。出于应急原因或战术目的,为UAS使用更大的跑道是不可行的。该团队开发了一种类似安全气囊的系统,通过控制空气释放来为车辆减速。然而,由于测试限制,团队无法在实际的RQ-7车辆上全面测试安全气囊系统。该系统的生命周期已经很长了,因此没有可用的原型,而且该团队现有的设备也无法进行大型高速测试。因此,该团队建立了现有车辆的模型,重点关注关键部件和材料。然后,该团队在几何和动态尺度上进行了测试,并利用这些测试的结果来确定实际载荷是否会对车辆造成潜在损害。本文通过RQ-7案例研究证明了这种方法的实用性。该方法的关键方面是使用车辆模型来确定可能导致材料失效的加载条件。对重要的标度特性进行了分析,提出了一种新的无量纲比。使用仪器进行缩放测试以确定未知缩放参数。然后通过使用无量纲比率将结果与实际车辆进行比较。该比率将模型的尺寸、接近速度和质量与实际飞行器进行比较,最终目的是确定模型撞击安全气囊时所经历的减速是否会在全尺寸减速时对飞行器的关键部件造成损坏。测试显示模型安全气囊能够充分地使UAV减速,尽管需要改进以获得更大的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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